Camera Integration Engineer – ADAS

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About the roleWe are looking for a Camera Integration Engineer for an assignment with one of our clients in the automotive industry. You will work hands-on with camera integration on NVIDIA-based automotive compute platforms for ADAS applications. The work covers the whole camera pipeline, from low-level driver development and camera bring-up to image quality validation and handling camera data. The assignment starts at short notice, and you will go straight into ongoing integration and debugging work.

What you’ll do

• Integrate camera sensors on NVIDIA DRIVE platforms in an automotive/ADAS environment
• Develop, configure and debug camera drivers, including sensor-to-SoC communication and camera bring-up
• Configure and troubleshoot GMSL2/GMSL3 serializer/deserializer links
• Run image quality checks, validate the image pipeline and debug image acquisition issues
• Handle high-bandwidth camera streams, including video encoding and compression
• Set up efficient capture, buffering, compression and logging of high-volume camera data for validation and ADAS development
• Work on multi-camera synchronization, timestamping and frame synchronization, including hardware-level sync
• Troubleshoot at system level across the camera sensor, SerDes, driver and compute platform

Who you areYou’re a hands-on engineer who enjoys getting systems to work in practice. You like digging into hardware–software issues, you work in a structured way when debugging, and you can contribute quickly in a fast-moving integration project. You’re more at home at the bench and in the code than in purely conceptual or architectural work.

Requirements

• B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, Embedded Systems or a related field
• Proven hands-on experience with camera integration on NVIDIA DRIVE platforms in automotive/ADAS
• Experience developing and debugging camera drivers, SerDes configuration and camera bring-up
• Practical experience with GMSL2 and/or GMSL3, including link establishment and troubleshooting
• Experience with image quality validation and image pipeline debugging
• Experience with video encoding/compression and high-bandwidth data streams
• Understanding of multi-camera synchronization and timestamping
• Available to start at short notice

AlsoIt’s a plus if you have experience with:

• Embedded Linux and/or QNX, and C/C++ development
• V4L2, NVIDIA DriveOS/DriveWorks or similar camera frameworks
• Logging and data recording solutions for ADAS development
• ISP tuning or camera calibration
• Automotive safety standards (ISO 26262)
• Swedish

Your application

 Does this sound like the opportunity you’ve been waiting for? Please go ahead and apply!

For questions about the position, feel free to contact Patrik Artman, 0733-908035 or patrik.artman@mpyascitech.com.

We look forward to hearing from you!